deep-learning-v2-pytorch VS cs231n

Compare deep-learning-v2-pytorch vs cs231n and see what are their differences.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 (by udacity)
Deep Learning neural-network convolutional-networks Pytorch recurrent-networks style-transfer sentiment-analysis
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cs231n

Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition (by mirzaim)
Deep Learning cs231n cs231n-assignment Notes Computer Vision Solutions Pytorch stanford cs231 spring-2021 2021 Machine Learning convolutional-neural-networks neural-network
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mirzaim.github.io
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deep-learning-v2-pytorch cs231n
1 1
5,176 42
0.5% -
0.0 0.0
10 months ago over 2 years ago
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MIT License MIT License
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deep-learning-v2-pytorch

Posts with mentions or reviews of deep-learning-v2-pytorch. We have used some of these posts to build our list of alternatives and similar projects.

cs231n

Posts with mentions or reviews of cs231n. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing deep-learning-v2-pytorch and cs231n you can also consider the following projects:

stable-diffusion-reference-only - img2img version of stable diffusion. Anime Character Remix. Line Art Automatic Coloring. Style Transfer.

coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

monodepth2 - [ICCV 2019] Monocular depth estimation from a single image

Deep-Learning-Computer-Vision - My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.

hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]

glasses - High-quality Neural Networks for Computer Vision 😎

gan-vae-pretrained-pytorch - Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

DeepLearning - Contains all my works, references for deep learning

deep-learning-v2-pytorch vs stable-diffusion-reference-only cs231n vs coursera-deep-learning-specialization deep-learning-v2-pytorch vs torchdyn cs231n vs stanford-cs229 deep-learning-v2-pytorch vs monodepth2 cs231n vs Deep-Learning-Computer-Vision deep-learning-v2-pytorch vs hyperlearn cs231n vs stanford-CS229 deep-learning-v2-pytorch vs glasses cs231n vs monodepth2 deep-learning-v2-pytorch vs gan-vae-pretrained-pytorch cs231n vs DeepLearning